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Artificial Intelligence And Machine Learning

Name: Artificial Intelligence And Machine Learning - Padhega India
SKU: 9789364440820
Price: 590 INR
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Publisher:

Mc Graw Hill India

| Author:

Pradeep Singh | Tapan K. Gandhi | Balasubramanian Raman

| Language:

English

| Format:

Paperback

Publisher:

Mc Graw Hill India

Author:

Pradeep Singh | Tapan K. Gandhi | Balasubramanian Raman

Language:

English

Format:

Paperback

Original price was: ₹695.Current price is: ₹590.

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In stock

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Book Type	Paperback

ISBN:

SKU 9789364440820 Category Computer Engineering/IT Engineering

Category: Computer Engineering/IT Engineering

Page Extent:

584

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This book is designed to introduce beginners to the foundational concepts and techniques that underpin AI by focusing on the key concepts of Artificial Intelligence from basic to advance, the aim is to provide the comprehensive guide that bridges theory and practice, empowering readers to harness the power of data to build intelligent solutions Structured to facilitate a gradual and in depth understanding, this book takes the reader on a journey through the essential aspects of Artificial Intelligence, Machine Learning, and data science along with some important concepts such as reinforcement learning, neural network and deep learning, natural language processing, and advance machine learning techniques. To enrich the learning experience, practical example, and exercises are included in every chapter. Additionally, the future trends in AI are explored, encouraging a continuous curiosity and exploration of new advancement in this dynamic field.

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Description

This book is designed to introduce beginners to the foundational concepts and techniques that underpin AI by focusing on the key concepts of Artificial Intelligence from basic to advance, the aim is to provide the comprehensive guide that bridges theory and practice, empowering readers to harness the power of data to build intelligent solutions Structured to facilitate a gradual and in depth understanding, this book takes the reader on a journey through the essential aspects of Artificial Intelligence, Machine Learning, and data science along with some important concepts such as reinforcement learning, neural network and deep learning, natural language processing, and advance machine learning techniques. To enrich the learning experience, practical example, and exercises are included in every chapter. Additionally, the future trends in AI are explored, encouraging a continuous curiosity and exploration of new advancement in this dynamic field.

About Author

Pradeep Singh is currently a Principal Investigator at the Machine Intelligence Lab within the Department of Computer Science and Engineering at IIT Roorkee. His research focuses on the intersection of Geometric Deep Learning, Neuro-Symbolic AI, and Dynamical Systems. He holds a Ph.D. and Master's degree from IIT Delhi in Symbolic Systems, and a Bachelor's degree from IIT Madras in Data Science. Dr. Singh has earned multiple accolades, including All India Rank 1 in IIT GATE 2020, IIT JAM 2015, and CSIR NET 2019. His research has been published in reputed venues such as IEEE Transactions, ECAI, ACM MM among others.

Tapan K Gandhi is a Professor in the Department of Electrical Engineering at IIT Delhi, Cadence Chair Professor of AI and Automation, Joint Faculty in the School of AI at IIT Delhi, and Adjunct Faculty in the School of AI and Data Science at IIT Jodhpur. He holds a Ph.D. in Biomedical Engineering from IIT Delhi and completed postdoctoral research at MIT. He has published over 200 papers in top-ranking journals such as Nature and PNAS. He holds four patents and has successfully transferred three technologies to the Ministry of Social Justice, Government of India.

Balasubramanian Raman is the Head of the Department of Computer Science and Engineering and a Chair Professor at IIT Roorkee. He holds a Ph.D. from IIT Madras. With over 200 research papers published in reputed journals and conferences, his research interests span Machine Learning, Image and Video Processing, Computer Vision, and Pattern Recognition.